Abordagem construtivista do erro na resolução de problemas de aritmética de estrutura aditiva

O Objectivo deste estudo é analisar o tipo de erro, estrutural ou funcional, observado em crianças dos 5 aos 8 anos, durante a resolução de três tipos de problemas aritméticos de estrutura aditiva . combinação, separação e comparação . em situações diferenciadas (manipulativa, figurativa, numérica). A amostra do estudo é constituída por 45 crianças (15 do último ano do pré-escolar, 15 do 1º ano de escolaridade e 15 do 2º ano) de uma escola pública de Lisboa, de meio sócio-económico médio. A metodologia seguida foi a de tipo clínico ( análise critica). Cada criança participou em quatro sessões experimentais (uma por semana), sendo a primeira para determinar o nível psicogenético e as seguintes para resolver os três problemas de aritmética. Os resultados mostram a relação entre o tipo de erro e a estrutura e a categoria do problema; entre os níveis psicogenético e escolar e o tipo de erro observado, independentemente da situação experimental (manipulativa, figurativa, numérica); entre os níveis psicogenético e escolares e o tipo de grafismo e as representações. Mostrou ainda a lógica do erro seguida por cada criança, a qual se mantém em qualquer das situações experimentais.

Deuterium NMR Study of Orientational Order in Cellulosic Network Microfibers

Deuterium NMR was used to investigate the orientational order in a composite cellulosic formed by liquid crystalline acetoxypropylcellulose (A PC) and demented nematic 4'-penty1-4-cyanobiphenyl (5CB-4 alpha d(2)) with the per centage of 85% A PC by weight Three forms of the composite including electro spun microfibers, thin film and bulk samples were analyzed The NMR results initially suggest two distinct scenarios, one whet e the 503-alpha d(2), is confined to small droplets with dimensions smaller than the magnetic coherence length and the other where the 503-alpha d(2) molecules arc aligned with the A PC network chains Polarized optical microscopy (POW from thin film samples along with all the NMR results show the presence of 5CB-alpha d(2) droplets in the composite systems with a nematic wetting layer at the APC-5CB-alpha d(2) interface that experiences and order disorder transition driven by the polymer network N-I transition The characterization of the APC network I-N transition shows a pronounced subcritical behavior within a heterogeneity scenario.

Cromatografia preparativa: caracterização e purificação de produtos e impurezas com aplicação na indústria de APIs

Neste trabalho efectuou-se o desenvolvimento de métodos de purificação de princípios activos farmacêuticos utilizando a cromatografia preparativa em coluna (eluição batch). Por motivos de confidencialidade as amostras tiveram a denominação de Amostra Projecto A, Amostra Projecto B, Amostra Projecto C e Amostra 2 - Projecto A. Estudou-se a performance de coluna para cada projecto utilizando colunas pré-preparadas e colunas preparadas com a tecnologia DAC (Dynamical Axial Compression). Elaborou-se o procedimento experimental de enchimento de colunas preparativas sob compressão axial. As impurezas isoladas por cromatografia preparativa foram sujeitas a caracterização HPLC e LC-MS. Com colunas pré-preparadas, obteve-se para a amostra do projecto A um rendimento de 70,59% e relativamente à amostra projecto B obteve-se u, rendimento de 15,39%. Relativamente à impureza isolada da amostra do projecto A, o estudo por HPLC revelou 98,69% de pureza, quanto à impureza da amostra projecto B obteve-se 88,80% de pureza. A impureza da amostra do projecto A exibiu por LC-MS a massa de 467,15 enquanto que a impureza da amostra do projecto B obteve 503,31. O enchimento de colunas preparativas sob pressão axial dinâmica foi realizado numa coluna de dimensão 260 X 25 mm, onde 76,60% da coluna foi compactada com o material de enchimento SepTech ST150-C18, 10 µm. A coluna foi testada com a impureza isolada do projecto A. Isolou-se o pico referente à impureza, e por LC-MS verificou-se que a impureza foi isolada eficientemente com 97,20& de pureza e massa 467,15 como indicado anteriormente. Em relação à preparação de colunas com a tecnologia DAC concluímos que, neste caso, é mais vantajoso realizar o enchimento das colunas do que efectuar a compra de colunas pré-preparadas. Com estes resultados pode-se concluir que a cromatografia preparativa é um método eficaz no isolamento de impurezas de APIs (Active Pharmaceutical Ingredients) face a métodos de purificação clássicos que foram realizados previamente noutros estudos. Com futuros desenvolvimentos e investimentos, facilmente poderá tornar-se num método de purificação indispensável na Indústria de Química Fina.

Photonics Active Filters Based on SiC Multi layer Structures: A Two Stage Active Circuit

Characteristics of tunable wavelength filters based on a-SiC:H multi-layered stacked cells are studied both theoretically and experimentally. Results show that the light-activated photonic device combines the demultiplexing operation with the simultaneous photodetection and self amplification of an optical signal. The sensor is a bias wavelength current-controlled device that make use of changes in the wavelength of the background to control the power delivered to the load, acting a photonic active filter. Its gain depends on the background wavelength that controls the electrical field profile across the device.

Radiatively induced Lorentz and CPT violation in Schwinger constant field approximation

The Schwinger proper-time method is an effective calculation method, explicitly gauge-invariant and nonperturbative. We make use of this method to investigate the radiatively induced Lorentz- and CPT-violating effects in quantum electrodynamics when an axial-vector interaction term is introduced in the fermionic sector. The induced Lorentz- and CPT-violating Chern-Simons term coincides with the one obtained using a covariant derivative expansion but differs from the result usually obtained in other regularization schemes. A possible ambiguity in the approach is also discussed. (C) 2001 Published by Elsevier Science B.V.

Cholesterol 24S-Hydroxylase overexpression inhibits the liver X receptor (LXR) pathway by activating small guanosine triphosphate-binding proteins (sGTPases) in neuronal cells

The neuronal-specific cholesterol 24S-hydroxylase (CYP46A1) is important for brain cholesterol elimination. Cyp46a1 null mice exhibit severe deficiencies in learning and hippocampal long-term potentiation, suggested to be caused by a decrease in isoprenoid intermediates of the mevalonate pathway. Conversely, transgenic mice overexpressing CYP46A1 show an improved cognitive function. These results raised the question of whether CYP46A1 expression can modulate the activity of proteins that are crucial for neuronal function, namely of isoprenylated small guanosine triphosphate-binding proteins (sGTPases). Our results show that CYP46A1 overexpression in SH-SY5Y neuroblastoma cells and in primary cultures of rat cortical neurons leads to an increase in 3-hydroxy-3-methyl-glutaryl-CoA reductase activity and to an overall increase in membrane levels of RhoA, Rac1, Cdc42 and Rab8. This increase is accompanied by a specific increase in RhoA activation. Interestingly, treatment with lovastatin or a geranylgeranyltransferase-I inhibitor abolished the CYP46A1 effect. The CYP46A1-mediated increase in sGTPases membrane abundance was confirmed in vivo, in membrane fractions obtained from transgenic mice overexpressing this enzyme. Moreover, CYP46A1 overexpression leads to a decrease in the liver X receptor (LXR) transcriptional activity and in the mRNA levels of ATP-binding cassette transporter 1, sub-family A, member 1 and apolipoprotein E. This effect was abolished by inhibition of prenylation or by co-transfection of a RhoA dominant-negative mutant. Our results suggest a novel regulatory axis in neurons; under conditions of membrane cholesterol reduction by increased CYP46A1 expression, neurons increase isoprenoid synthesis and sGTPase prenylation. This leads to a reduction in LXR activity, and consequently to a decrease in the expression of LXR target genes.

ECG biometrics using a dissimilarity space representation

Electrocardiogram (ECG) biometrics are a relatively recent trend in biometric recognition, with at least 13 years of development in peer-reviewed literature. Most of the proposed biometric techniques perform classifi-cation on features extracted from either heartbeats or from ECG based transformed signals. The best representation is yet to be decided. This paper studies an alternative representation, a dissimilarity space, based on the pairwise dissimilarity between templates and subjects' signals. Additionally, this representation can make use of ECG signals sourced from multiple leads. Configurations of three leads will be tested and contrasted with single-lead experiments. Using the same k-NN classifier the results proved superior to those obtained through a similar algorithm which does not employ a dissimilarity representation. The best Authentication EER went as low as 1:53% for a database employing 503 subjects. However, the employment of extra leads did not prove itself advantageous.